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Mostrando ítems 1-10 de 24
Artículo
Dual Machine-Learning system to aid Glaucoma Diagnosis using disc and cup feature extraction.
(IEEE Computer Society, 2020)
Glaucoma is a degenerative disease that affects vision, causing damage to the optic nerve that ends in vision loss. The classic techniques to detect it have undergone a great change since the intrusion of machine learning ...
Ponencia
Using virtual potential fields for electric wheelchair guidance
(IEEE Computer Society, 2002)
TetraNauta is an electric wheelchair guidance system intended for people with heavy motion impairments (such as persons with tetraplegia). It is specially useful when impairments also affect wheelchair steering as it is ...
Ponencia
Multidataset Incremental Training for Optic Disc Segmentation
(Springer, 2020)
When convolutional neural networks are applied to image segmentation results depend greatly on the data sets used to train the networks. Cloud providers support multi GPU and TPU virtual machines making the idea of ...
Ponencia
AER tools for Communications and Debugging
(IEEE Computer Society, 2006)
Address-event-representation (AER) is a communications protocol for transferring spikes between bio-inspired chips. Such systems may consist of a hierarchical structure with several chips that transmit spikes among them ...
Ponencia
Glioma Diagnosis Aid through CNNs and Fuzzy-C Means for MRI
(ScitePress Digital Library, 2019)
Glioma is a type of brain tumor that causes mortality in many cases. Early diagnosis is an important factor. Typically, it is detected through MRI and then either a treatment is applied, or it is removed through ...
Ponencia
TetraNauta: a intelligent wheelchair for users with very severe mobility restrictions
(IEEE Computer Society, 2002)
The TetraNauta project is a low cost, fully open steering system to allow people with heavy motor impairments to move in a known environments (hospitals, schools, home, etc.). It minimizes the steering effort, especially ...
Ponencia
On the Design of Ambient Intelligent Systems in the Context of Assistive Technologies
(Springer, 2004)
The design of Ambient Intelligent Systems (AISs) is discussed in the context of assistive technologies. The main issues include ubiquitous communications, context awareness, natural interactions and heterogeneity, which ...
Ponencia
Time-Recovering PCI-AER interface for Bio-inspired Spiking Systems
(SPIE: The International Society for Optics and Photonics, 2005)
Address Event Representation (AER) is an emergent neuromorphic interchip communication protocol that allows for real-time virtual massive connectivity between huge number neurons located on different chips. By exploiting high ...
Artículo
Chrono-Scheduling; a simplified dynamic scheduling algorithm for timing predictable processors
(World Scientific Connecting Great MInds, 2009)
We propose a simpler and latency-reduced instruction scheduler, called chronoscheduling algorithm, which avoids large and difficult instruction wake-up in order to reduce power consumption and latencies. The key idea of ...
Artículo
TPU Cloud-Based Generalized U-Net for Eye Fundus Image Segmentation
(IEEE Computer Society, 2019)
Medical images from different clinics are acquired with different instruments and settings. To perform segmentation on these images as a cloud-based service we need to train with multiple datasets to increase the ...